Browse Modules

In this module, students will examine the assimilation experiences of immigrants using data from the 2012-2016 American Community Survey (ACS) 5-year estimate. The primary purpose of this module is to examine the assimilation/incorporation experiences of immigrants in the United States. Throughout this module, students will be guided in the use of secondary data to generate basic statistical analysis, create tables and interpret their findings.

Utilizing the SSDAN WebCHIP software, students will explore different disability types for older adults in the United States from the 2008 and 2012 American Community Surveys. Understanding the different types of disability and trends by age and race can help policy-makers decide how to allocate resources to improve population health.

In this module students will observe the relationship between income and education in a select state in the United States, using data from the American Community Survey. Students will examine how income is distributed in the state and then understand how the same can vary by education, gender, race or age.

This online group project is to introduce students to demographic and socio-economic data from the American Community Survey to understand major concepts of marriage and the family in a sociology course.

In this module, students will use 2014 ACS 5-year estimates using CensusReporter.org and SocialExplorer.com to examine racial/ethnic and income residential patterns in an urban zip code tabulation area (ZCTA). Students will learn (1) how to navigate and access data on the websites (2) how to read and talk about tables, charts, and maps, and (3) how to write about and present these items in a PowerPoint report.

The purpose of this module is to familiarize students in an Introduction to Sociology and Anthropology course to social science data. Students will explore inequality in the United States by examining census data.

As discussed, the murder rates for Blacks in the United States are substantially higher than those for Whites, with Latino murder rates falling in the middle. These differences have existed throughout the 20th and into the 21st century and, with few exceptions, are found in different sections of the United States.

This exercises examines housing patterns using data from the 2000 U.S. Census considering how stage of life course and race/ethnicity influence these patterns. Students are expected to discuss the implications of their findings.

You most likely learned in your introductory sociology classes that traditional mom-pop-children households in the United States are not as dominant as they once were. You may also have learned that the change was due in part to the increasing status of women and changes in customs and laws that made divorce less troublesome to obtain. And we all have known for quite some time that children in female-headed households have a much greater chance of living in poverty. While you do the exercises in this lesson, you will find data that look at some of these claims.

The sociologist, Melvin Kohn, argued that people's locations in social structures, particularly the occupational structure, influenced the values they would stress for their children because variations in structural locations exposed them to different experiences.

In this three-part module, students develop a practical understanding of the sociological imagination through data analysis.
Students will investigate how social events between 1950 and 1990 led to changes in occupation.

For this assignment, students will pretend to be a social researcher hired by the developers of Luxury Lane, a high end shopping plaza featuring gourmet cuisine, custom furniture, designer clothing, and expensive artwork.

This module is designed to illustrate the effects of selection bias on the observed relationship between premarital cohabitation and later divorce. It also serves as a review of key methodological concepts introduced in the first part of the course.

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This project and its website were supported in part by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award number R25HD078226. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.